Ye Chen
- Artificial Intelligence top 5%
-
- Multi-Criteria Decision Making 11
- Information Systems top 5%
- User Authentication and Security Systems 5
- Spam and Phishing Detection 4
- Signal Processing top 5%
- Speech and Audio Processing 4
- Advanced Malware Detection Techniques 4
-
- Vehicular Ad Hoc Networks (VANETs) 8
-
- Network Security and Intrusion Detection 6
-
- Optimization and Mathematical Programming 6
Ye Chen
69 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 392
- Management Science and Operations Research 151
- Computer Vision and Pattern Recognition 234
- Information Systems 242
- Signal Processing 102
Countries citing papers authored by Ye Chen
This map shows the geographic impact of Ye Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ye Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Chen more than expected).
Fields of papers citing papers by Ye Chen
This network shows the impact of papers produced by Ye Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ye Chen. The network helps show where Ye Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ye Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 21 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 13 | |
| 9 | 2022 | 2 | |
| 10 | 2020 | 29 | |
| 11 | 2016 | 16 | |
| 12 | 2016 | 1 | |
| 13 | Theoretical study on self-synchronization of two homodromy rotors coupled with a pendulum rod in a far-resonant vibrating system | 2014 | 14 |
| 14 | 2013 | 19 | |
| 15 | 2012 | 8 | |
| 16 | 2011 | 2 | |
| 17 | Factor Modeling for Advertisement Targeting | 2009 | 24 |
| 18 | A bayesian network model of knowledge-based authentication | 2007 | 2 |
| 19 | 2005 | 3 | |
| 20 | 1999 | 35 |
About Ye Chen
Ye Chen is a scholar working on Acoustics and Ultrasonics, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (11 papers), Vehicular Ad Hoc Networks (VANETs) (8 papers), Network Security and Intrusion Detection (6 papers), Optimization and Mathematical Programming (6 papers), User Authentication and Security Systems (5 papers), Spam and Phishing Detection (4 papers), Speech and Audio Processing (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (392 citations), Management Science and Operations Research (151 citations) and Computer Vision and Pattern Recognition (234 citations). Ye Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include John Canny, Dmitry Pavlov, Kevin Li, Sifeng Liu, Zhelong Wang, Rui Yong, Lawrence J. Mazlack, Long Lu, Tak W. Yan and Donghui Wu. Their work appears in journals such as Computer Networks, IEEE Access, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Optics Express.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.